Fill gaps limited 7665

xarray/core/dataarray.py

@@ -3776,6 +3776,8 @@ def fill_gaps(
  """Fill in gaps in the data using one of several filling methods.
  Allows for fine control on how far to extend the valid data into the gaps and the maximum size of the gaps to fill.
 
+ *Requires bottleneck.*
+
  Parameters
  ----------
  dim : Hashable

xarray/core/dataset.py

@@ -6884,6 +6884,8 @@ def fill_gaps(
  """Fill in gaps in the data using one of several filling methods.
  Allows for fine control on how far to extend the valid data into the gaps and the maximum size of the gaps to fill.
 
+ *Requires bottleneck.*
+
  Parameters
  ----------
  dim : Hashable

xarray/tests/test_missing.py

@@ -366,6 +366,7 @@ def test_interpolate_limits():
  assert_equal(actual, expected)
 
 
+@requires_bottleneck
 def test_interpolate_double_coordinate():
  # Check if max_gap is able to handle string coordinate names
  # Limit is always refering to an index
@@ -633,6 +634,7 @@ def test_bfill_dataset(ds):
  ds.ffill(dim="time")
 
 
+@requires_bottleneck
 def test_get_gap_left_edge():
  n = np.nan
  arr = [
@@ -664,6 +666,7 @@ def test_get_gap_left_edge():
  )
 
 
+@requires_bottleneck
 def test_get_gap_right_edge():
  n = np.nan
  arr = [
@@ -695,6 +698,7 @@ def test_get_gap_right_edge():
  )
 
 
+@requires_bottleneck
 def test_get_gap_dist_to_left_edge():
  n = np.nan
  arr = [
@@ -718,6 +722,7 @@ def test_get_gap_dist_to_left_edge():
  expected = da.copy(data=[[n, 0, 3, 4, 5, 6, 8, 10, 0], [n, n, n, 0, 1, 2, 0, 2, 4]])
 
 
+@requires_bottleneck
 def test_get_gap_dist_to_right_edge():
  n = np.nan
  arr = [
@@ -768,6 +773,7 @@ def test_get_nan_block_lengths(y, lengths_expected):
  assert_equal(actual, expected)
 
 
+@requires_bottleneck
 def test_get_nan_block_lengths_2d():
  n = np.nan
  da = xr.DataArray(
@@ -804,6 +810,7 @@ def test_get_nan_block_lengths_2d():
  assert_equal(actual, expected_y)
 
 
+@requires_bottleneck
 def test_get_limit_fill_mask():
  T = True
  F = False
@@ -856,6 +863,7 @@ def test_get_limit_fill_mask():
  assert_equal(actual, expected)
 
 
+@requires_bottleneck
 def test_get_area_mask():
  T = True
  F = False
@@ -1064,6 +1072,7 @@ def test_interpolate_na_max_gap_2d(coords):
  assert_equal(actual, expected_x)
 
 
+@requires_bottleneck
 def test_interpolate_na_limit_2d():
  n = np.nan
  times = pd.date_range("2000-01-01", periods=12, freq="3h")
@@ -1113,6 +1122,7 @@ def test_interpolators_complex_out_of_bounds():
 
 
 ####Masking Functionality
+@requires_bottleneck
 def test_fill_gaps_limit():
  n = np.nan
  times = pd.date_range("2000-01-01", periods=8, freq="2h")
@@ -1149,6 +1159,7 @@ def test_fill_gaps_limit():
  assert_equal(actual, expected)
 
 
+@requires_bottleneck
 def test_mask_gap_limit_2d():
  n = np.nan
  times = pd.date_range("2000-01-01", periods=12, freq="3h")
@@ -1309,6 +1320,7 @@ def test_mask_gap_limit_2d():
  assert_equal(actual, expected)
 
 
+@requires_bottleneck
 def test_mask_gap_max_gap_2d():
  n = np.nan
  times = pd.date_range("2000-01-01", periods=12, freq="3h")
@@ -1358,6 +1370,7 @@ def test_mask_gap_max_gap_2d():
  assert_equal(actual, expected)
 
 
+@requires_bottleneck
 def test_mask_double_coordinate():
  # Check if limit and max_gap are able to handle string coordinate names
  n = np.nan